summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/generated/models/pad.model.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/pad.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/pad.model.cpp24
1 files changed, 24 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/pad.model.cpp b/runtimes/tests/neural_networks_test/generated/models/pad.model.cpp
new file mode 100644
index 000000000..97e173e21
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/pad.model.cpp
@@ -0,0 +1,24 @@
+// Generated file (from: pad.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
+ OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 4, 1});
+ OperandType type1(Type::TENSOR_INT32, {4, 2});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t op2_init[] = {0, 0, 1, 1, 1, 1, 0, 0};
+ model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
+ model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op3});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}